Mechanical Engineering Tenure-Track Faculty Position
City College of New York
The Grove School of Engineering at the City College of New York located in Manhattan, New York, is seeking highly qualified candidates for a tenure track Assistant or Associate Professor position. The candidate is expected to develop and conduct research in the energy area, preferably with emphasis on the application of AI/Data Analytics to different energy problems including oil/gas production to optimize processes or operation.
The position would form part of the core faculty of the interdisciplinary Energy Institute and will be housed in the Mechanical Engineering Department. The CUNY Energy Institute (https://www.ccny.cuny.edu/energy) has ongoing active and highly funded research programs in energy storage, nuclear energy and oil/gas/water nexus, as well as research components addressing complex fluids under the NSF-funded Partnerships for International Research and Collaboration (PIRE). The faculty member for this position would be expected to not only develop new areas of research, but also participate in the PIRE project and greatly enhance the existing research components, with possible applications of AI/data analytics/data science, especially in the field of energy. The candidate should also be able to contribute to teaching in the Mechanical Engineering Department.
Ph.D. degree in Mechanical Engineering or closely related discipline. Also required are the ability to teach successfully, interest in productive scholarship or creative achievement, and ability to cooperate with others for the good of the institution.
The candidates are expected to have a Ph.D. in Mechanical Engineering or another closely related field and have a potential for building up and raising funding for a significant R&D program. Those applying for an Associate Professor position should have established records in research that demonstrate nationally and internationally recognized expertise.
CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development.
HOW TO APPLY
Applications must be submitted via CUNYfirst in order to be considered for this position.
Please click on "Apply Now" on the bottom of the above web page and follow the instructions.
If you are viewing this job posting externally, please apply as follows:
- Go to www.cuny.edu and click on "Employment"
- Click "Search job listings"
- Click on "More options to search for CUNY jobs"
- Search by Job Opening ID 21478
- Click on the "Apply Now" button and follow the instructions.
All applicants are also required to submit a resume with a list of publications, a statement of your vision for AI/Data Analytics applications to energy industries, and names with contact details of six (6) references.